The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.

About Followers

Latest preprint reviews

  1. The local stability of a modified multi-strain SIR model for emerging viral strains

    1. Miguel Fudolig
    2. Reka Howard

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  2. “We Are at Risk Too”: The Disparate Mental Health Impacts of the Pandemic on Younger Generations: Nous Sommes Aussi à Risque: Les Effets Disparates de la Pandémie Sur la Santé Mentale des Générations Plus Jeunes

    1. Renée El-Gabalawy
    2. Jordana L. Sommer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Retrospective analysis of interventions to epidemics using dynamic simulation of population behavior

    1. Jenna Osborn
    2. Shayna Berman
    3. Sara Bender-Bier
    4. Gavin D’Souza
    5. Matthew Myers

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Differences and similarities in diagnostic methods and treatments for Coronavirus disease 2019 (COVID-19): a scoping review

    1. Alessandro Rolim Scholze
    2. Emiliana Cristina Melo
    3. Carina Bortolato Major
    4. Carolina Fordellone Rosa Cruz
    5. Léia Regina de Souza Alcântara
    6. Camila Dalcol
    7. Fábio Rodrigues Ferreira Seiva
    8. Maria de Fátima Mantovani
    9. Ângela Tais Mattei
    10. Henrique Spaulonci Silveira
    11. Luiz Gustavo de Almeida Chuffa

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Potent neutralizing equine antibodies raised against recombinant SARS-CoV-2 spike protein for COVID-19 passive immunization therapy

    1. Luis Eduardo R. Cunha
    2. Adilson A. Stolet
    3. Marcelo A. Strauch
    4. Victor A. R. Pereira
    5. Carlos H. Dumard
    6. Andre M. O. Gomes
    7. Patrícia N. C. Souza
    8. Juliana G. Fonseca
    9. Francisco E. Pontes
    10. Leonardo G. R. Meirelles
    11. José W. M. Albuquerque
    12. Carolina Q. Sacramento
    13. Natalia Fintelman-Rodrigues
    14. Tulio M. Lima
    15. Renata G. F. Alvim
    16. Federico F. Marsili
    17. Marcella Moreira Caldeira
    18. Luisa M. Higa
    19. Fábio L. Monteiro
    20. Russolina B. Zingali
    21. Guilherme A. P. de Oliveira
    22. Thiago M. L. Souza
    23. Amilcar Tanuri
    24. Andréa C. Oliveira
    25. Herbert L. M. Guedes
    26. Leda R. Castilho
    27. Jerson L. Silva

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Prevalence of molecular and serological tests of the new coronavirus (SARS-CoV-2) in Carlos Chagas laboratory – Sabin group in Cuiabá

    1. Cristiane Coimbra de Paula
    2. Walkiria Shimoya-Bittencourt
    3. João Pedro Castoldo Passos
    4. Caroline Aquino Vieira De Lamare Paula
    5. Karuppusamy Arunachalam
    6. Cor Jesus Fernandes Fontes
    7. Ruberlei Godinho de Oliveira

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Time-dependent dynamic transmission potential and instantaneous reproduction number of COVID-19 pandemic in India

    1. Gurpreet Singh
    2. Seema Patrikar
    3. P Sankara Sarma
    4. Biju Soman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Age- and sex-specific total mortality impacts of the early weeks of the Covid-19 pandemic in England and Wales: Application of a Bayesian model ensemble to mortality statistics

    1. Vasilis Kontis
    2. James E Bennett
    3. Robbie M Parks
    4. Theo Rashid
    5. Jonathan Pearson-Stuttard
    6. Perviz Asaria
    7. Michel Guillot
    8. Marta Blangiardo
    9. Majid Ezzati

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. The impact of mobility network properties on predicted epidemic dynamics in Dhaka and Bangkok

    1. Tyler S. Brown
    2. Kenth Engø-Monsen
    3. Mathew V. Kiang
    4. Ayesha S. Mahmud
    5. Richard J. Maude
    6. Caroline O. Buckee

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Clinical Characteristics of Noncritical Patients with Coronavirus Disease 2019 (COVID-19): Lessons from Bangladesh

    1. Md Shahed Morshed
    2. Abdullah Al Mosabbir
    3. Prodipta Chowdhury
    4. Sheikh M Ashadullah
    5. Mohammad Sorowar Hossain

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
Newer Page 1741 of 2361 Older